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Paper Citation Record · LEDGER

Design Principle Transfer in Neural Architecture Search via Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2408.11330.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2408.11330 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:14.486899Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T19:45:04.056993Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1dc16796-b07e-482c-859b-84d869fd1b6d · inbound

QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model cites this paper.

QM-ToT: A Medical Tree of Thoughts Reasoning Framework for Quantized Model Design Principle Transfer in Neural Architecture Search via Large Language Models

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:45:04.058722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T19:44:16.630377Z digest=sha256:e5ed3350b6ee2d91820b56a9af773f5633f26cf4ac87dd3706685f95b73b1f1c

Observation 2e6a5be1-c008-45b1-a341-121dcaa28e00 · inbound

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution cites this paper.

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution Design Principle Transfer in Neural Architecture Search via Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T11:54:14.486899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:54:14.486899Z digest=sha256:34e0872e1d109fc641e8f663fb7263200177202fdd13b1b34fc5e6d154077102

Observation f9be6044-addb-423c-956b-15c71448ea4b · inbound

Scaling Closed-Loop Feature Channel Configuration with LLMs cites this paper.

Scaling Closed-Loop Feature Channel Configuration with LLMs Design Principle Transfer in Neural Architecture Search via Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T08:13:05.141306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:13:05.141306Z digest=sha256:d192868d0ca2197675dea67d9494047f3d230c68ebcd022aa9073f437025eafc